Search results

There has been an increasing emphasis on developing officers who can effectively make decisions in dynamic and stressful environments to manage volatile situations. The aim of this paper is to guide those seeking to optimize the limited resources dedicated to police training.

Drawing on research related to stress exposure training, principles of adult learning, the event-based approach to training and policing more broadly, the authors show how carefully crafted training scenarios can maximize the benefits of police training.

The authors’ review highlights various training principles that, if relied on, can result in scenarios that are likely to result in the development of flexible, sound decision-making skills when operating under stressful conditions. The paper concludes with an example of scenario development, which takes the reviewed principles into account.

The authors hope this discussion will be useful for police instructors and curriculum designers in making evidence-informed decisions when designing training scenarios.

This paper aims to discuss the experiences designing and conducting an experiential learning virtual incident response tabletop exercise (VIRTTX) to review a business's security posture as it adapts to remote working because of the Coronavirus 2019 (COVID-19). The pandemic forced businesses to move operations from offices to remote working. Given that this happened quickly for many, some firms had little time to factor in appropriate cyber-hygiene and incident prevention measures, thereby exposing themselves to vulnerabilities such as phishing and other scams.

The exercise was designed and facilitated through Microsoft Teams. The approach used included a literature review and an experiential learning method that used scenario-based, active pedagogical strategies such as case studies, simulations, role-playing and discussion-focused techniques to develop and evaluate processes and procedures used in preventing, detecting, mitigating, responding and recovering from cyber incidents.

The exercise highlighted the value of using scenario-based exercises in cyber security training. It elaborated that scenario-based incident response (IR) exercises are beneficial because well-crafted and well-executed exercises raise cyber security awareness among managers and IT professionals. Such activities with integrated operational and decision-making components enable businesses to evaluate IR and disaster recovery (DR) procedures, including communication flows, to improve decision-making at strategic levels and enhance the technical skills of cyber security personnel.

It maintained that the primary implication for practice is that they enhance security awareness through practical experiential, hands-on exercises such as this VIRTTX. These exercises bring together staff from across a business to evaluate existing IR/DR processes to determine if they are fit for purpose, establish existing gaps and identify strategies to prevent future threats, including during challenging circumstances such as the COVID-19 outbreak. Furthermore, the use of TTXs or TTEs for scenario-based incident response exercises was extremely useful for cyber security practice because well-crafted and well-executed exercises have been found to serve as valuable and effective tools for raising cyber security awareness among senior leadership, managers and IT professionals (Ulmanová, 2020).

This paper underlines the importance of practical, scenario-based cyber-IR training and reports on the experience of conducting a virtual IR/DR tabletop exercise within a large organisation.

Ensuring that ethical values are embedded into day‐to‐day working practice is a challenge for multinational organisations. Training on the subject can be dull and can fail to engage staff in the issues, but using scenarios helps to convey ethical messages and gives staff the tools to identify and deal with ethical dilemmas. The purpose of this paper is to summarise the case for business ethics training and the role of scenarios. It seeks to suggest ways to develop effective scenarios and to describe a case study of how one company incorporated them into its training.

This article is based on the Institute of Business Ethics' experience of developing scenarios for its subscriber organisations.

The paper shows that scenarios give employees practice at applying ethical frameworks and company standards to workplace situations. Scenario training is an opportunity for a “dry run” so that employees will know what to do when confronted with a real situation.

This work assists organisations with the development of effective training and communications to support their commitment to high ethical standards.

A more in‐depth examination of the subject is published in the IBE's Good Practice Guide Developing and Using Business Ethics Scenarios (available from www.ibe.org.uk). The study draws on original research to incorporate good practice in this area.

Virtual Reality (VR) based training is an efficient and promising digital tool. In the construction industry, studies have been conducted on the realisation of VR scenarios for construction operations, but the challenges lie in procedural scenario creation based on the knowledge and digital data of the construction project. The purpose of this paper is to address this issue.

A new system and interface allowing an automatic generation of a VR scenario for operating procedure (OP) based on 4D Building Information Modelling (BIM) and tasks authoring by the domain experts are presented. The first process, Automatic Scenario Generation, generates assembly tasks based on the BIM metadata. The second process, Expert Scene and Scenario Authoring, allows adding tasks that cannot be modeled in the BIM OP.

With the 4D BIM methodology, the 3D model of building as well as the 3D OPs contain a time dimension representing the construction phases or planning. The evolution in time of the construction site and the tools and procedures adapted to each construction project must be integrated in the VR simulations. Moreover, domain experts should have control over the scenario and should be able to author tasks assigned to the operator in training.

A Unified Modeling Language based framework allows the reuse of BIM metadata to create the scene, VR interactions and the assembly procedure; the assembly procedure is embedded in the virtual environment considering the time (4D) in the construction of the building and is used as a training scenario for the operator; and the training scenario can be refined by adding operational knowledge, such as quality.

The purpose of this exploratory study was to investigate the relationship between simulation training and police officers' ability to think creatively in crises.

This quantitative study used instructional design principles including aspects of Cognitive Load Theory to explore the cognitive load and creative thinking of police officers training with a MILO Range use-of-force simulator.

When provided with scenarios requiring de-escalation of emotionally disturbed persons, and when encouraged to be creative or innovative in their approach to de-escalate, officers were observed being more creative after experiencing a second simulation with the same scenario; however, multiple repetitions of similar scenarios did not result in an innovative response.

The results of this study suggest that cognitive load could be affected by changing the manner in which the officers train in simulation. When a simulator curriculum is designed with the incorporation of cognitive load theory, there is potential to foster creative thinking in a situation where de-escalation is the goal.

Instructional design principles, consideration of cognitive load and creative problem-solving are nontraditional methods in the law enforcement field and in use-of-force training.

The purpose of this research is to achieve multi-task autonomous driving by adjusting the network architecture of the model. Meanwhile, after achieving multi-task autonomous driving, the authors found that the trained neural network model performs poorly in untrained scenarios. Therefore, the authors proposed to improve the transfer efficiency of the model for new scenarios through transfer learning.

First, the authors achieved multi-task autonomous driving by training a model combining convolutional neural network and different structured long short-term memory (LSTM) layers. Second, the authors achieved fast transfer of neural network models in new scenarios by cross-model transfer learning. Finally, the authors combined data collection and data labeling to improve the efficiency of deep learning. Furthermore, the authors verified that the model has good robustness through light and shadow test.

This research achieved road tracking, real-time acceleration–deceleration, obstacle avoidance and left/right sign recognition. The model proposed by the authors (UniBiCLSTM) outperforms the existing models tested with model cars in terms of autonomous driving performance. Furthermore, the CMTL-UniBiCL-RL model trained by the authors through cross-model transfer learning improves the efficiency of model adaptation to new scenarios. Meanwhile, this research proposed an automatic data annotation method, which can save 1/4 of the time for deep learning.

This research provided novel solutions in the achievement of multi-task autonomous driving and neural network model scenario for transfer learning. The experiment was achieved on a single camera with an embedded chip and a scale model car, which is expected to simplify the hardware for autonomous driving.

A narrative review of existing research literature was conducted to identify practices that are likely to improve the quality of de-escalation and use-of-force training for police officers.

Previous reviews of de-escalation and use-of-force training literature were examined to identify promising training practices, and more targeted literature searches of various databases were undertaken to learn more about the potential impact of each practice on a trainee's ability to learn, retain, and transfer their training. Semi-structured interviews with five subject matter experts were also conducted to assess the degree to which they believed the identified practices were relevant to de-escalation and use-of-force training, and would enhance the quality of such training.

Twenty practices emerged from the literature search. Each was deemed relevant and useful by the subject matter experts. These could be mapped on to four elements of training: (1) commitment to training (e.g. securing organizational support for training), (2) development of training (e.g. aligning training formats with learning objectives), (3) implementation of training (e.g. providing effective corrective feedback) and (4) evaluation and ongoing assessment of training (e.g. using multifaceted evaluation tools to monitor and modify training as necessary).

This review of training practices that may be relevant to de-escalation and use-of-force training is the broadest one conducted to date. The review should prompt more organized attempts to quantify the effectiveness of the training practices (e.g. through meta-analyses), and encourage more focused testing in a police training environment to determine their impact.

Few studies have tested the efficacy of instruction based on cognitive load theory in police use-of-force (UoF) training due to limitations of existing cognitive load measures. Although linguistic measures of cognitive load address these limitations, they have yet to be applied to police UoF training. This study aims to discuss the aforementioned issue.

Officers’ verbal behavioral data from two UoF de-escalation projects were used to calculate cognitive load and assess how it varied with officer experience level (less-experienced, experienced). The verbal data were further analyzed to examine specific thinking patterns that contributed to heightened cognitive load across officer experience levels.

Across both studies, responses from less-experienced officers contained greater usage of cognitive language than responses from experienced officers. Specific cognitive processes that contribute to cognitive load in specific situations were also identified.

This paper enables police trainers to facilitate the development of adaptive training strategies to improve police UoF training via the reduction of cognitive load, and also contributes to the collective understanding of how less-experienced and experienced officers differ in their UoF decision-making.

Health and safety training via immersive virtual reality (VR) in the construction sector is still limited to few early adopters despite the benefits it could provide in terms of training effectiveness. To foster its adoption, in this work, the authors address the lack of an organized asset of digital contents dedicated to the production of VR site scenarios that emerged as one of the most limiting factors for the implementation of building information modeling (BIM) and VR for construction workers’ safety training. To improve this critically time-consuming process, a dedicated site object library is proposed.

The development of the site object library for the production of BIM-based VR safety training experiences followed a four-step process: definition of the object list and categories from the analysis of heterogeneous knowledge sources – construction sectors’ regulations, case studies and site scenarios’ imagery; definition of the object requirements (e.g. information, graphics, sounds, animations and more); design of an object information sheet as a library implementation support tool; and library implementation and validation via collaborative VR sessions.

This work provides the definition of a structured library of construction site objects dedicated to the production of VR scenarios for safety training comprising 168 items, implemented and validated.

The research contributes to facilitate and standardize the time-consuming contents’ production and modeling process of site scenarios for VR safety training, addressing the lack of a dedicated site object library. Furthermore, the novel library framework could serve as a base for future extensions dedicated to other applications of VR site simulations (e.g. constructability analysis).

The purpose of this paper is to simulate the potential costs and benefits for Spanish firms providing dual apprenticeship training.

The paper conducts simulations of ten training occupations in six different industries in Spain. For these simulations, the authors combined Spanish wage data and the existing training curriculum regarding instruction times in vocational school in Spain with data from Swiss firms offering training in similar occupations. These data contain information regarding the amount of workplace training, relative apprentice productivity, and the relative importance of non-wage training costs (such as training equipment).

The authors found that training occupation, training scenario, and firm size are important determinants of the authors’ simulations for the expected net costs of apprenticeship training in Spanish firms. Consequently, the break-even level of apprentices’ wages differs significantly by training occupation and training scenario, suggesting that one prescribed apprentice wage for all sectors and occupations would be detrimental to the willingness of many firms to provide training places.

Dual apprenticeship training may improve the labor market transition for Spanish youth. The paper provides guidelines for regulatory frameworks that allow firms to provide apprenticeship training without having to bear net training costs – an important condition given that apprentices are free to leave the training firm upon graduation.

The authors’ simulations show that Spanish firms would be able to provide high-quality apprenticeship training programs that would also appeal to more talented youth because of the combination of a decent earning opportunity during the apprenticeship and good future career options.

This paper provides novel and direct empirical evidence regarding the framework conditions within the Spanish apprenticeship system, thus incentivizing both firms and individuals to participate in dual apprenticeship training programs.